The term neuromorphic computing was coined in the 90s to describe integrated circuits that mimic the neuro-biological architecture of the central nervous system [1]}.
These circuits employ variants of integrate-and-fire (I&F) neurons [2]} as computational units and analog weights as synaptic storage.
I&F neurons use spikes to encode information, where each spike is a voltage or current pulse in the physical world, typically of ms duration [3]}.
Recently, both industry and academia have proposed many different neuromorphic platforms to execute applications that are designed with Spiking Neural Network (SNN). Examples of such platforms include SpiNNaker [4]}, Neurogrid [5]}, TrueNorth [6]}, DYNAPs [7]}, Tianji [8]}, Loihi [9]}, and ODIN [10]}, among others [11]}.
<FIGURE>